A Pandas DataFrame is a two-dimensional table-like data structure with rows and columns that can hold heterogeneous data types. It is similar to a spreadsheet or a SQL table, where columns are named and can be of different data types like integers, floats, strings, or even other complex objects. Rows can be accessed by either integer location or by a unique label that is assigned to each row, known as the index. Pandas makes it easier to manipulate, filter, and analyze data in a way that is concise and easy to understand.
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Asked: 2021-12-29 11:00:00 +0000
Seen: 8 times
Last updated: Jul 12 '22
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